Detection and Modeling Vibrational Behavior of a Gas Turbine Based on Dynamic Neural Networks Approach

Abstract

During the gas turbine exploitation the presence of small defects can cause very high vibration amplifications, localized on the components of this rotating machine. For this, a diagnostic process is necessary for decision-making during the monitoring of failures caused by vibration phenomena, which consists in observing the system by comparing its current data with the data coming from a normal operation. These indicators help engineer to determine the symptoms for the failing components of the system. This work deals with problems related to these vibrations, with the aim of developing a system of detection of failures using dynamic neural networks approach. The originality of this contribution is to calculate the various alarms based on this system which used the determined vibration models in order to ensure a reliable and safe operation of the gas compression installation using the examined gas turbine.

Stability and Analysis of Vibrations Bifurcation Based on Dynamic Modeling of a Solar Titan 130 Gas Turbine

“…A gas turbine is a continuous flow rotating motor, equipped with an axial compressor and combustion chambers; it is able to produce itself a fluid under pressure and at very high temperature which, by undergoing its phase of expansion in the various stages of the turbine, provides mechanical energy to the outside, it is a true autonomous unit which suffices in itself [13,15]. The studied gas turbine in this work is of the Solar TITAN 130 type, as shown in Figure 2, is a turbine with two separate shafts, with axial flow, Table 1 shows the specifications of the Titan 130 gas turbine.…”

Detection of Vibrations Defects in Gas Transportation Plant Based on Input / Output Data Analysis: Gas Turbine Investigations

“…The current developments in production systems of gas transportation through gas turbine plants lead to launching new monitoring projects [14][15][16][17][18]. The vibration monitoring in a gas turbine is a very effective technique which is widely used in various industrials applications.…”

Experimental Modelling and Control of a Tower Crane in the Frequency Domain

“…where ( ), ( ) are lower and upper performance bounds, respectively, obtained in form of transfer functions (5) and (6). Following recommended parameter values [8] were used to calculate the lower bound: = 1, = 0.01.…”

“…The frequency response approach is appropriate for this kind of problems and provides good results without need of measured data preprocessing [3,4] also in face of uncertainty in the plant model. Though there are more efficient advanced techniques for vibration damping [5], the frequency response design is often the most cost-effective design method and is most effective for open-loop stable systems.…”